Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "237"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 237 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 56 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 54 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 237, Node N18:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459871 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.796408 2.752685 1.187645 15.606753 4.602088 4.955164 -0.182428 -0.999017 0.6357 0.6329 0.4004 nan nan
2459870 RF_ok 100.00% 0.00% 0.00% 0.00% - - 6.736543 4.465137 0.973047 11.435460 3.544691 2.980558 1.639390 -0.476910 0.6431 0.6402 0.4025 nan nan
2459869 RF_ok 100.00% 0.00% 0.00% 0.00% - - 5.289273 3.263948 0.943607 11.398616 2.842305 2.565647 1.174745 0.156602 0.6521 0.6585 0.3990 nan nan
2459868 RF_ok 100.00% 0.00% 0.00% 0.00% - - 6.670616 4.671025 0.967685 17.610219 2.931206 3.096917 0.154475 -1.269698 0.6247 0.6290 0.4156 nan nan
2459867 RF_ok 100.00% 0.00% 0.00% 0.00% - - 4.279937 3.063574 1.083620 13.820125 2.054573 2.057572 0.145226 -1.213844 0.6392 0.6363 0.4156 nan nan
2459866 RF_ok 100.00% 0.00% 0.00% 0.00% - - 4.913495 3.399232 1.215652 12.762209 3.307453 2.049503 -0.193561 -0.916805 0.6428 0.6395 0.4082 nan nan
2459865 RF_ok 100.00% 0.00% 0.00% 0.00% - - 7.391073 5.542760 1.355147 16.213611 4.891083 2.883292 2.090433 2.706877 0.6546 0.6510 0.3851 nan nan
2459864 RF_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459863 RF_ok 0.00% 0.00% 0.00% 0.00% - - 3.356348 2.140805 -1.648849 -1.053190 0.450922 -0.901545 -0.491040 -0.940352 0.6314 0.6245 0.4164 nan nan
2459862 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.616254 2.681207 3.872526 10.625960 2.684535 2.284920 -0.244498 -0.847027 0.6042 0.6431 0.4401 nan nan
2459861 RF_ok 0.00% 0.00% 0.00% 0.00% - - 1.956933 1.131304 -1.576989 -2.238615 -0.644411 -1.539360 -0.083993 -0.618875 0.6469 0.6324 0.4299 nan nan
2459860 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.162016 1.330334 3.117686 8.607397 3.042920 3.828282 1.105612 -0.761514 0.6596 0.6356 0.4258 nan nan
2459859 RF_ok 0.00% 0.00% 0.00% 0.00% - - 1.322867 0.870623 -1.671637 -2.098700 -0.909379 -1.447585 0.355979 -0.766354 0.6676 0.6424 0.4198 nan nan
2459858 RF_ok 0.00% 0.00% 0.00% 0.00% 100.00% 0.00% 1.668388 0.789859 -1.750999 -2.615773 -0.621221 -1.738691 1.723462 -0.217009 0.6719 0.6460 0.4343 2.729064 2.593831
2459857 RF_ok 0.00% 100.00% 100.00% 0.00% - - 2.163038 -0.460607 1.469996 1.518458 -1.357776 -0.597547 -1.407024 -1.311896 0.0288 0.0289 0.0005 nan nan
2459856 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.865133 2.134213 3.107943 8.161401 1.193103 1.377603 -0.003448 -1.496432 0.6692 0.6614 0.4164 2.689488 2.582426
2459855 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.511279 3.058827 3.407170 9.060482 0.508962 0.685470 0.764252 -0.377673 0.6458 0.6827 0.4487 2.482551 2.486815
2459854 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.026828 2.507566 3.658221 8.046999 -0.117979 0.097675 1.306276 0.278340 0.6655 0.7171 0.4623 2.885786 2.645296
2459853 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.601765 1.919405 4.749562 10.394968 1.625084 1.676209 1.062679 -1.007863 0.6956 0.6542 0.4433 2.898507 2.709752
2459852 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459851 RF_ok 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459850 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.865844 2.768592 4.646030 9.535119 1.766854 3.739859 1.168086 3.479271 0.6966 0.7224 0.3685 2.626961 2.600104
2459849 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 2.927141 2.123867 10.532598 20.513865 0.564011 1.649285 1.061828 -1.296032 0.6987 0.7160 0.3742 3.469490 3.159442
2459848 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.345642 2.515883 7.785510 14.251567 1.918947 4.203937 0.153203 -1.193097 0.6703 0.7166 0.3947 2.884272 2.920087
2459847 RF_ok 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 3.780555 2.603812 7.185865 13.299118 1.721912 1.105892 0.209000 -0.853115 0.6735 0.6449 0.4517 5.429945 4.158871

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 237: 2459871

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 15.606753 2.752685 3.796408 15.606753 1.187645 4.955164 4.602088 -0.999017 -0.182428

Antenna 237: 2459870

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 11.435460 6.736543 4.465137 0.973047 11.435460 3.544691 2.980558 1.639390 -0.476910

Antenna 237: 2459869

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 11.398616 5.289273 3.263948 0.943607 11.398616 2.842305 2.565647 1.174745 0.156602

Antenna 237: 2459868

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 17.610219 6.670616 4.671025 0.967685 17.610219 2.931206 3.096917 0.154475 -1.269698

Antenna 237: 2459867

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 13.820125 4.279937 3.063574 1.083620 13.820125 2.054573 2.057572 0.145226 -1.213844

Antenna 237: 2459866

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 12.762209 3.399232 4.913495 12.762209 1.215652 2.049503 3.307453 -0.916805 -0.193561

Antenna 237: 2459865

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 16.213611 7.391073 5.542760 1.355147 16.213611 4.891083 2.883292 2.090433 2.706877

Antenna 237: 2459864

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 237: 2459863

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape 3.356348 3.356348 2.140805 -1.648849 -1.053190 0.450922 -0.901545 -0.491040 -0.940352

Antenna 237: 2459862

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 10.625960 3.616254 2.681207 3.872526 10.625960 2.684535 2.284920 -0.244498 -0.847027

Antenna 237: 2459861

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape 1.956933 1.131304 1.956933 -2.238615 -1.576989 -1.539360 -0.644411 -0.618875 -0.083993

Antenna 237: 2459860

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 8.607397 2.162016 1.330334 3.117686 8.607397 3.042920 3.828282 1.105612 -0.761514

Antenna 237: 2459859

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape 1.322867 1.322867 0.870623 -1.671637 -2.098700 -0.909379 -1.447585 0.355979 -0.766354

Antenna 237: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Temporal Discontinuties 1.723462 0.789859 1.668388 -2.615773 -1.750999 -1.738691 -0.621221 -0.217009 1.723462

Antenna 237: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape 2.163038 -0.460607 2.163038 1.518458 1.469996 -0.597547 -1.357776 -1.311896 -1.407024

Antenna 237: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 8.161401 2.865133 2.134213 3.107943 8.161401 1.193103 1.377603 -0.003448 -1.496432

Antenna 237: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 9.060482 3.058827 4.511279 9.060482 3.407170 0.685470 0.508962 -0.377673 0.764252

Antenna 237: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 8.046999 2.507566 4.026828 8.046999 3.658221 0.097675 -0.117979 0.278340 1.306276

Antenna 237: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 10.394968 1.919405 2.601765 10.394968 4.749562 1.676209 1.625084 -1.007863 1.062679

Antenna 237: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 237: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 237: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 9.535119 2.865844 2.768592 4.646030 9.535119 1.766854 3.739859 1.168086 3.479271

Antenna 237: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 20.513865 2.927141 2.123867 10.532598 20.513865 0.564011 1.649285 1.061828 -1.296032

Antenna 237: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 14.251567 2.515883 3.345642 14.251567 7.785510 4.203937 1.918947 -1.193097 0.153203

Antenna 237: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
237 N18 RF_ok nn Power 13.299118 2.603812 3.780555 13.299118 7.185865 1.105892 1.721912 -0.853115 0.209000
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